Npgsql.FSharp.Analyzer VS tsql

Compare Npgsql.FSharp.Analyzer vs tsql and see what are their differences.

Npgsql.FSharp.Analyzer

F# analyzer that provides embedded SQL syntax analysis, type-checking for parameters and result sets and nullable column detection when writing queries using Npgsql.FSharp. (by Zaid-Ajaj)

tsql

Transact-SQL template combinators. (by appliedblockchain)
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Npgsql.FSharp.Analyzer tsql
3 3
137 11
- -
0.0 6.8
over 2 years ago 8 months ago
C# TypeScript
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Npgsql.FSharp.Analyzer

Posts with mentions or reviews of Npgsql.FSharp.Analyzer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-24.

tsql

Posts with mentions or reviews of tsql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-24.
  • Kysely: TypeScript SQL Query Builder
    19 projects | news.ycombinator.com | 24 Jan 2023
    We use in prod variant of no 1. [0]. Why? Because:

    * it's extremely lightweight (built on pure, functional combinators)

    * it allows us to use more complex patterns ie. convention where every json field ends with Json which is automatically parsed; which, unlike datatype alone, allows us to create composable query to fetch arbitrarily nested graphs and promoting single [$] key ie. to return list of emails as `string[]` not `{ email: string }[]` with `select email as [$] from Users` etc.

    * has convenience combinators for things like constructing where clauses from monodb like queries

    * all usual queries like CRUD, exists etc. and some more complex ie. insertIgnore, merge1n etc has convenient api

    We resort to runtime type assertions [1] which works well for this and all other i/o; runtime type assertions are necessary for cases when your running service is incorrectly attached to old or future remote schema (there are other protections against it but still happens).

    [0] https://github.com/appliedblockchain/tsql

    [1] https://github.com/appliedblockchain/assert-combinators

  • Objection to ORM Hatred
    6 projects | news.ycombinator.com | 15 Jan 2023
    Exactly. I'm happy with tsql [0] - template based, with safe sanitation, helper renderers/combinators, used in production for several years, would recommend this approach.

    [0] https://github.com/appliedblockchain/tsql

  • DenoDB
    15 projects | news.ycombinator.com | 17 Jun 2021
    Personally I prefer functional combinators like interfaces [0]. Js/ts have tagged templates which enhances those type of interfaces a lot. It gives access to full set of functionality of underlying database, not just common denominator of all used. It allows arbitrary compositions etc.

    [0] https://github.com/appliedblockchain/tsql/

What are some alternatives?

When comparing Npgsql.FSharp.Analyzer and tsql you can also consider the following projects:

Dapper.FSharp - Lightweight F# extension for StackOverflow Dapper with support for MSSQL, MySQL, PostgreSQL, and SQLite

denodb - MySQL, SQLite, MariaDB, PostgreSQL and MongoDB ORM for Deno

SqlHydra - SqlHydra is a suite of NuGet packages for working with databases in F# including code generation tools and query expressions.

postgres - Postgres.js - The Fastest full featured PostgreSQL client for Node.js, Deno, Bun and CloudFlare

Mondocks - An alternative way to interact with MongoDB databases from F# that allows you to use mongo-idiomatic constructs

MySQL - A pure node.js JavaScript Client implementing the MySQL protocol.

Npgsql.FSharp - Thin F# wrapper around Npgsql, the PostgreSQL database driver for .NET

trpc - 🧙‍♀️ Move Fast and Break Nothing. End-to-end typesafe APIs made easy.

DustyTables - Thin F# API for SqlClient for easy data access to ms sql server with functional seasoning on top

PostgreSQL - PostgreSQL client for node.js.

sequelts

JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.